Vision Transformer (ViT) Methods:
Numerous transformer based methods have recently been proposed for WSOL [1]}, [2]}, [3]}, [4]}, [5]}. A pioneering work for object localization is the token semantic coupled attention map (TS-CAM) [6]}, which is capable of localizing objects at a fine-grained level by fusing attention maps with semantic-aware maps. (The detailed working TS-CAM model is presented in supplementary material.) Recently, [5]} proposed a re-attention mechanism for suppressing background regions. Layer-wise relevance propagation [3]} and clustering-based [2]} methods have also been proposed to accumulate attention maps produced by ViTs. For instance, [3]} introduces a patch-based attention dropout layer in the attention block, and incorporate an attention roll-out method to improve localization performance.
